All strain names were converted to the corresponding isotype name, which can be looked up here: https://elegansvariation.org/strains/isotype_list. If you submitted replicate data, replicates for a given isotype were averaged to one mean value.
## [1] "No strain issues to report"
Only for regions less than 5 Mb in size
Fine mapping was performed by evaluating the genotype-phenotype relationship for variants nearby the QTL identified from GWA mapping using a vcf containing imputed variants to avoid removing variants with missing genotype information for one or a few strains. Only SNVs were considered in this mapping.
Fine mapping was performed by evaluating the genotype-phenotype relationship for variants nearby the QTL identified from GWA mapping using a vcf containing imputed variants to avoid removing variants with missing genotype information for one or a few strains. Only SNVs were considered in this mapping.
Fine mapping was performed by evaluating the genotype-phenotype relationship for variants nearby the QTL identified from GWA mapping using a vcf containing imputed variants to avoid removing variants with missing genotype information for one or a few strains. Only SNVs were considered in this mapping.
Fine mapping was performed by evaluating the genotype-phenotype relationship for variants nearby the QTL identified from GWA mapping using a vcf containing imputed variants to avoid removing variants with missing genotype information for one or a few strains. Only SNVs were considered in this mapping.
Fine mapping was performed by evaluating the genotype-phenotype relationship for variants nearby the QTL identified from GWA mapping using a vcf containing imputed variants to avoid removing variants with missing genotype information for one or a few strains. Only SNVs were considered in this mapping.
Fine mapping was performed by evaluating the genotype-phenotype relationship for variants nearby the QTL identified from GWA mapping using a vcf containing imputed variants to avoid removing variants with missing genotype information for one or a few strains. Only SNVs were considered in this mapping.
Fine mapping was performed by evaluating the genotype-phenotype relationship for variants nearby the QTL identified from GWA mapping using a vcf containing imputed variants to avoid removing variants with missing genotype information for one or a few strains. Only SNVs were considered in this mapping.
## R version 3.6.0 (2019-04-26)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Red Hat Enterprise Linux Server 7.5 (Maipo)
##
## Matrix products: default
## BLAS: /hpc/software/R/3.6.0/lib64/R/lib/libRblas.so
## LAPACK: /hpc/software/R/3.6.0/lib64/R/lib/libRlapack.so
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
## [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] cowplot_1.0.0 ggnewscale_0.4.5 genetics_1.3.8.1.2 mvtnorm_1.0-12
## [5] MASS_7.3-51.4 gtools_3.8.1 gdata_2.18.0 combinat_0.0-8
## [9] ggrepel_0.8.2 knitr_1.28 ggbeeswarm_0.6.0 DT_0.12
## [13] plotly_4.9.2 forcats_0.5.1 stringr_1.4.0 dplyr_1.0.7
## [17] purrr_0.3.4 readr_2.0.1 tidyr_1.1.3 tibble_3.1.4
## [21] ggplot2_3.3.5 tidyverse_1.3.1
##
## loaded via a namespace (and not attached):
## [1] fs_1.3.1 lubridate_1.7.10 RColorBrewer_1.1-2 httr_1.4.2
## [5] tools_3.6.0 backports_1.1.5 utf8_1.1.4 R6_2.4.1
## [9] vipor_0.4.5 DBI_1.1.0 lazyeval_0.2.2 colorspace_1.4-1
## [13] withr_2.4.2 tidyselect_1.1.1 compiler_3.6.0 cli_3.0.1
## [17] rvest_1.0.1 xml2_1.3.2 labeling_0.3 scales_1.1.0
## [21] digest_0.6.24 rmarkdown_2.1 pkgconfig_2.0.3 htmltools_0.4.0
## [25] dbplyr_2.1.1 fastmap_1.0.1 htmlwidgets_1.5.1 rlang_0.4.11
## [29] readxl_1.3.1 rstudioapi_0.13 shiny_1.4.0 generics_0.0.2
## [33] farver_2.0.3 jsonlite_1.7.2 crosstalk_1.0.0 magrittr_2.0.1
## [37] Rcpp_1.0.6 munsell_0.5.0 fansi_0.4.1 lifecycle_1.0.0
## [41] stringi_1.4.6 yaml_2.2.1 grid_3.6.0 promises_1.1.0
## [45] crayon_1.4.1 haven_2.4.3 hms_1.1.0 pillar_1.6.2
## [49] reprex_2.0.1 glue_1.4.2 evaluate_0.14 data.table_1.12.8
## [53] modelr_0.1.8 vctrs_0.3.8 tzdb_0.1.2 httpuv_1.5.2
## [57] cellranger_1.1.0 gtable_0.3.0 assertthat_0.2.1 xfun_0.12
## [61] mime_0.9 xtable_1.8-4 broom_0.7.9 later_1.0.0
## [65] viridisLite_0.3.0 beeswarm_0.2.3 ellipsis_0.3.2